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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Cheng, A.M.K. |
| Copyright Year | 1996 |
| Description | Author affiliation: Dept. of Comput. Sci., Houston Univ., TX, USA (Cheng, A.M.K.) |
| Abstract | Complexity metrics, such as McCabe's cyclomatic number of a program control graph and Halstead's number of operator/operand occurrences have been used extensively to measure the structural complexity of procedural programs. However, few suitable complexity metrics have been developed for rule-based programs written in OPS5 and OPS5-like rule-based languages. With the increasingly common use of rule-based languages in knowledge-based systems, this paper describes new complexity metrics to more accurately measure the complexity of OPS5 rule-based programs. The practicality of these metrics is empirically demonstrated by applying them to measure the complexity of a suite of benchmark: OPS5 expert systems. |
| Starting Page | 522 |
| Ending Page | 527 |
| File Size | 684336 |
| Page Count | 6 |
| File Format | |
| ISBN | 0818675799 |
| ISSN | 07303157 |
| DOI | 10.1109/CMPSAC.1996.544623 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1996-08-21 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Expert systems Control systems Delay Timing Computerized monitoring Safety Application software Engines System testing Real time systems |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science Applications Software |
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